{"id":"https://openalex.org/W2016459643","doi":"https://doi.org/10.1109/isccsp.2014.6877856","title":"Robust iterative hard thresholding for compressed sensing","display_name":"Robust iterative hard thresholding for compressed sensing","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2016459643","doi":"https://doi.org/10.1109/isccsp.2014.6877856","mag":"2016459643"},"language":"en","primary_location":{"id":"doi:10.1109/isccsp.2014.6877856","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isccsp.2014.6877856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 6th International Symposium on Communications, Control and Signal Processing (ISCCSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031785324","display_name":"Esa Ollila","orcid":"https://orcid.org/0000-0002-0898-5313"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Esa Ollila","raw_affiliation_strings":["Dept. of Signal Processing and Acoustics, Aalto University, Aalto, Finland","Dept. of Signal Process. & Acoust., Aalto Univ., Aalto, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Signal Processing and Acoustics, Aalto University, Aalto, Finland","institution_ids":["https://openalex.org/I9927081"]},{"raw_affiliation_string":"Dept. of Signal Process. & Acoust., Aalto Univ., Aalto, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028966626","display_name":"Hyon\u2010Jung Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Hyon-Jung Kim","raw_affiliation_strings":["Dept. of Signal Processing and Acoustics, Aalto University, Aalto, Finland","Dept. of Signal Process. & Acoust., Aalto Univ., Aalto, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Signal Processing and Acoustics, Aalto University, Aalto, Finland","institution_ids":["https://openalex.org/I9927081"]},{"raw_affiliation_string":"Dept. of Signal Process. & Acoust., Aalto Univ., Aalto, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105267090","display_name":"Visa Koivunen","orcid":"https://orcid.org/0000-0003-1454-5928"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Visa Koivunen","raw_affiliation_strings":["Dept. of Signal Processing and Acoustics, Aalto University, Aalto, Finland","Dept. of Signal Process. & Acoust., Aalto Univ., Aalto, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Signal Processing and Acoustics, Aalto University, Aalto, Finland","institution_ids":["https://openalex.org/I9927081"]},{"raw_affiliation_string":"Dept. of Signal Process. & Acoust., Aalto Univ., Aalto, Finland","institution_ids":["https://openalex.org/I9927081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9927081"],"apc_list":null,"apc_paid":null,"fwci":3.7733,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.93297724,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"226","last_page":"229"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7655124068260193},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6813560128211975},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6537611484527588},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6531465649604797},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6295377612113953},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.6256129741668701},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.5693148970603943},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5601349472999573},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5364673137664795},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5204330086708069},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5165278315544128},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5062498450279236},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46085065603256226},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45816972851753235},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.43348538875579834},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4260874390602112},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.424331396818161},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10671401023864746},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.06577128171920776},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06525751948356628}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7655124068260193},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6813560128211975},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6537611484527588},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6531465649604797},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6295377612113953},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.6256129741668701},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.5693148970603943},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5601349472999573},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5364673137664795},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5204330086708069},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5165278315544128},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5062498450279236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46085065603256226},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45816972851753235},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.43348538875579834},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4260874390602112},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.424331396818161},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10671401023864746},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.06577128171920776},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06525751948356628},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isccsp.2014.6877856","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isccsp.2014.6877856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 6th International Symposium on Communications, Control and Signal Processing (ISCCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1652006273","https://openalex.org/W2052581396","https://openalex.org/W2065742895","https://openalex.org/W2123023890","https://openalex.org/W2164196622","https://openalex.org/W2963322354","https://openalex.org/W4235713725","https://openalex.org/W6636908574"],"related_works":["https://openalex.org/W2378166785","https://openalex.org/W2951235295","https://openalex.org/W2090582423","https://openalex.org/W1968961316","https://openalex.org/W1987102304","https://openalex.org/W2071996089","https://openalex.org/W4292477526","https://openalex.org/W2950863322","https://openalex.org/W2016459643","https://openalex.org/W2264471190"],"abstract_inverted_index":{"Compressed":[0],"sensing":[1],"(CS)":[2],"or":[3,33,54],"sparse":[4,23,37,79],"signal":[5,10,38,80],"reconstruction":[6],"(SSR)":[7],"is":[8,39],"a":[9,22,67,92],"processing":[11],"technique":[12,30],"that":[13,17,76],"exploits":[14],"the":[15,35,40,56,78,82,85],"fact":[16],"acquired":[18],"data":[19],"can":[20],"have":[21],"representation":[24],"in":[25,55],"some":[26],"basis.":[27],"One":[28],"popular":[29],"to":[31,97],"reconstruct":[32],"approximate":[34],"unknown":[36],"iterative":[41],"hard":[42],"thresholding":[43],"(IHT)":[44],"which":[45],"however":[46],"performs":[47],"very":[48],"poorly":[49],"under":[50,99,105],"non-Gaussian":[51,107],"noise":[52,108],"conditions":[53],"face":[57],"of":[58,84],"outliers":[59],"(gross":[60],"errors).":[61],"In":[62],"this":[63],"paper,":[64],"we":[65],"propose":[66],"robust":[68],"IHT":[69,98],"method":[70,90],"based":[71],"on":[72],"ideas":[73],"from":[74],"M-estimation":[75],"estimates":[77],"and":[81],"scale":[83],"error":[86],"distribution":[87],"simultaneously.":[88],"The":[89],"has":[91],"negligible":[93],"performance":[94,104],"loss":[95],"compared":[96],"Gaussian":[100],"noise,":[101],"but":[102],"superior":[103],"heavy-tailed":[106],"conditions.":[109]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}
